Results 11 to 20 of about 83,251 (167)
Block H-matrices and Spectrum of Block Matrices
Abstract In this paper, we obtain a set of practical criteria of block H-matrices. At the same time, a range of eigenvalues is given for a kind of nonsingular block H-matrix.
Huishuang Gao +4 more
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Sparse block-structured random matrices: universality
We study ensembles of sparse block-structured random matrices generated from the adjacency matrix of a Erdös–Renyi random graph with N vertices of average degree Z , inserting a real symmetric d × d random block at each non-vanishing entry. We consider
Giovanni M Cicuta, Mario Pernici
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Some Basic Concepts of Neutrosophic Soft Block Matrices [PDF]
The main focus of this article is to discuss the concept of neutrosophic sets, neutrosophic soft sets , neutrosophic soft matrices theory and neutrosophic soft block matrix which are very useful and applicable in various situations involving ...
Mamoni Dhar
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Arasu, K. T. +2 more
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Block TERM factorization of block matrices [PDF]
Reversible integer mapping (or integer transform) is a useful way to realize lossless coding, and this technique has been used for multi-component image compression in the new international image compression standard JPEG 2000. For any nonsingular linear transform of finite dimension, its integer transform can be implemented by factorizing the ...
Yiyuan She, Pengwei Hao
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The Inverses of Block Toeplitz Matrices
We study the inverses of block Toeplitz matrices based on the analysis of the block cyclic displacement. New formulas for the inverses of block Toeplitz matrices are proposed.
Xiao-Guang Lv, Ting-Zhu Huang
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Inverses and Determinants of n × n Block Matrices
Block matrices play an important role in all branches of pure and applied mathematics. In this paper, we study the two fundamental concepts: inverses and determinants of general n×n block matrices.
Müge Saadetoğlu, Şakir Mehmet Dinsev
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Representations of group rings and groups [PDF]
An isomorphism between the group ring of a finite group and a ring of certain block diagonal matrices is established. It is shown that for any group ring matrix $A$ of $mathbb{C} G$ there exists a matrix $U$ (independent of $A$) such that $U^{-1}AU= diag(
Ted Hurley
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Coarse-Grained Pruning of Neural Network Models Based on Blocky Sparse Structure
Deep neural networks may achieve excellent performance in many research fields. However, many deep neural network models are over-parameterized. The computation of weight matrices often consumes a lot of time, which requires plenty of computing resources.
Lan Huang +5 more
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